Actigraphy in the Assessment of Insomnia: A Quantitative Approach
The lack of quantitative criteria for identifying insomnia using actigraphy represents an unresolved limit for the use of actigraphy in a clinical setting. The current study was conducted to evaluate the most efficient actigraphic parameter in the assessment of insomnia and to suggest preliminary qu...
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| Veröffentlicht in: | Sleep (New York, N.Y.) N.Y.), 2009-06, Vol.32 (6), p.767-771 |
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| creator | NATALE, Vincenzo PLAZZI, Giuseppe MARTONI, Monica |
| description | The lack of quantitative criteria for identifying insomnia using actigraphy represents an unresolved limit for the use of actigraphy in a clinical setting. The current study was conducted to evaluate the most efficient actigraphic parameter in the assessment of insomnia and to suggest preliminary quantitative actigraphic criteria (QAC).
Performing a retrospective study we recovered 408 actigraphic records from 3 sleep measure databases: 2 regarding insomnia patients (n = 126) and one normal sleepers (n = 282). We compared the 2 samples analyzing the following actigraphic sleep parameters: time in bed (TIB), sleep onset latency (SOL), total sleep time (TST), wake after sleep onset (WASO), sleep efficiency percentage (SE%), number of awakenings longer than 5 minutes (NA > 5) and mean motor activity (MA). Moreover, a linear discriminant function (LDF) was developed to identify and combine the most useful actigraphic sleep parameters to separate insomnia patients from normal sleepers. Using Youden index we calculated the preliminary QAC for each actigraphic sleep parameter and for LDF. Receiver operator characteristic (ROC) curves for classifying the accuracy of QAC were performed.
All sleep parameters recorded by actigraphy significantly differentiated the 2 groups, except TIB. An LDF analysis showed that the most useful combination of actigraphic sleep parameters to assess insomnia was TST, SOL, and NA > 5, which obtained the best ROC and the best balance between positive and negative predictive values compared to any single actigraphic parameter.
Actigraphy provided a satisfactory objective measurement of sleep quality in insomnia patients. The combination of TST, SOL, and NA > 5 proved the best way to assess insomnia using actigraphy. Acknowledging that the lack of a technological standard and some methodological limitations prevent us generalizing our results, we recommend additional studies on larger populations using different actigraph models. |
| doi_str_mv | 10.1093/sleep/32.6.767 |
| format | Article |
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Performing a retrospective study we recovered 408 actigraphic records from 3 sleep measure databases: 2 regarding insomnia patients (n = 126) and one normal sleepers (n = 282). We compared the 2 samples analyzing the following actigraphic sleep parameters: time in bed (TIB), sleep onset latency (SOL), total sleep time (TST), wake after sleep onset (WASO), sleep efficiency percentage (SE%), number of awakenings longer than 5 minutes (NA > 5) and mean motor activity (MA). Moreover, a linear discriminant function (LDF) was developed to identify and combine the most useful actigraphic sleep parameters to separate insomnia patients from normal sleepers. Using Youden index we calculated the preliminary QAC for each actigraphic sleep parameter and for LDF. Receiver operator characteristic (ROC) curves for classifying the accuracy of QAC were performed.
All sleep parameters recorded by actigraphy significantly differentiated the 2 groups, except TIB. An LDF analysis showed that the most useful combination of actigraphic sleep parameters to assess insomnia was TST, SOL, and NA > 5, which obtained the best ROC and the best balance between positive and negative predictive values compared to any single actigraphic parameter.
Actigraphy provided a satisfactory objective measurement of sleep quality in insomnia patients. The combination of TST, SOL, and NA > 5 proved the best way to assess insomnia using actigraphy. Acknowledging that the lack of a technological standard and some methodological limitations prevent us generalizing our results, we recommend additional studies on larger populations using different actigraph models.</description><identifier>ISSN: 0161-8105</identifier><identifier>EISSN: 1550-9109</identifier><identifier>DOI: 10.1093/sleep/32.6.767</identifier><identifier>PMID: 19544753</identifier><identifier>CODEN: SLEED6</identifier><language>eng</language><publisher>Darien, IL: American Academy of Sleep Medicine</publisher><subject>Adolescent ; Adult ; Aged ; Assessing Insomnia With Actigraphy ; Behavioral psychophysiology ; Biological and medical sciences ; Child ; Data Interpretation, Statistical ; Databases, Factual ; Disorders of higher nervous function. Focal brain diseases. Central vestibular syndrome and deafness. Brain stem syndromes ; Female ; Fundamental and applied biological sciences. Psychology ; Humans ; Male ; Medical sciences ; Middle Aged ; Monitoring, Ambulatory - instrumentation ; Monitoring, Ambulatory - statistics & numerical data ; Nervous system (semeiology, syndromes) ; Neurology ; Polysomnography - instrumentation ; Polysomnography - statistics & numerical data ; Psychology. Psychoanalysis. Psychiatry ; Psychology. Psychophysiology ; Reference Values ; Reproducibility of Results ; Retrospective Studies ; ROC Curve ; Sleep Initiation and Maintenance Disorders - classification ; Sleep Initiation and Maintenance Disorders - diagnosis ; Young Adult</subject><ispartof>Sleep (New York, N.Y.), 2009-06, Vol.32 (6), p.767-771</ispartof><rights>2009 INIST-CNRS</rights><rights>2009 Associated Professional Sleep Societies, LLC. 2009</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c484t-c46eddbd655beed2de54e7fb0adcf78ea45f1677812ef6671c554ba9724d89bf3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27924,27925</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=21533765$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/19544753$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>NATALE, Vincenzo</creatorcontrib><creatorcontrib>PLAZZI, Giuseppe</creatorcontrib><creatorcontrib>MARTONI, Monica</creatorcontrib><title>Actigraphy in the Assessment of Insomnia: A Quantitative Approach</title><title>Sleep (New York, N.Y.)</title><addtitle>Sleep</addtitle><description>The lack of quantitative criteria for identifying insomnia using actigraphy represents an unresolved limit for the use of actigraphy in a clinical setting. The current study was conducted to evaluate the most efficient actigraphic parameter in the assessment of insomnia and to suggest preliminary quantitative actigraphic criteria (QAC).
Performing a retrospective study we recovered 408 actigraphic records from 3 sleep measure databases: 2 regarding insomnia patients (n = 126) and one normal sleepers (n = 282). We compared the 2 samples analyzing the following actigraphic sleep parameters: time in bed (TIB), sleep onset latency (SOL), total sleep time (TST), wake after sleep onset (WASO), sleep efficiency percentage (SE%), number of awakenings longer than 5 minutes (NA > 5) and mean motor activity (MA). Moreover, a linear discriminant function (LDF) was developed to identify and combine the most useful actigraphic sleep parameters to separate insomnia patients from normal sleepers. Using Youden index we calculated the preliminary QAC for each actigraphic sleep parameter and for LDF. Receiver operator characteristic (ROC) curves for classifying the accuracy of QAC were performed.
All sleep parameters recorded by actigraphy significantly differentiated the 2 groups, except TIB. An LDF analysis showed that the most useful combination of actigraphic sleep parameters to assess insomnia was TST, SOL, and NA > 5, which obtained the best ROC and the best balance between positive and negative predictive values compared to any single actigraphic parameter.
Actigraphy provided a satisfactory objective measurement of sleep quality in insomnia patients. The combination of TST, SOL, and NA > 5 proved the best way to assess insomnia using actigraphy. Acknowledging that the lack of a technological standard and some methodological limitations prevent us generalizing our results, we recommend additional studies on larger populations using different actigraph models.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Aged</subject><subject>Assessing Insomnia With Actigraphy</subject><subject>Behavioral psychophysiology</subject><subject>Biological and medical sciences</subject><subject>Child</subject><subject>Data Interpretation, Statistical</subject><subject>Databases, Factual</subject><subject>Disorders of higher nervous function. Focal brain diseases. Central vestibular syndrome and deafness. Brain stem syndromes</subject><subject>Female</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Humans</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Middle Aged</subject><subject>Monitoring, Ambulatory - instrumentation</subject><subject>Monitoring, Ambulatory - statistics & numerical data</subject><subject>Nervous system (semeiology, syndromes)</subject><subject>Neurology</subject><subject>Polysomnography - instrumentation</subject><subject>Polysomnography - statistics & numerical data</subject><subject>Psychology. Psychoanalysis. Psychiatry</subject><subject>Psychology. Psychophysiology</subject><subject>Reference Values</subject><subject>Reproducibility of Results</subject><subject>Retrospective Studies</subject><subject>ROC Curve</subject><subject>Sleep Initiation and Maintenance Disorders - classification</subject><subject>Sleep Initiation and Maintenance Disorders - diagnosis</subject><subject>Young Adult</subject><issn>0161-8105</issn><issn>1550-9109</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpVkMtLAzEQxoMotlavHmUvemub7Oax60FYio9CQQQ9h2x20kb2ZbIt9L83tqXqZYZhfvPNx4fQNcETgrNk6iuAbprEEz4RXJygIWEMj7OwO0VDTDgZpwSzAbrw_hOHmWbJORqQjFEqWDJEea57u3SqW20j20T9CqLce_C-hqaPWhPNG9_WjVX3UR69rVXT2171dhOwrnOt0qtLdGZU5eHq0Efo4-nxffYyXrw-z2f5YqxpSvtQOZRlUXLGCoAyLoFREKbAqtRGpKAoM4QLkZIYDOeCaMZooTIR0zLNCpOM0MNet1sXNZQ6-HOqkp2ztXJb2Sor_28au5LLdiNjnmHGaRC4Owi49msNvpe19RqqSjXQrr3kgmIWLARwsge1a713YI5PCJY_qctd6jKJJZdid3Dz19ovfog5ALcHQHmtKuNUo60_cjEJjOAs-QYW_o2n</recordid><startdate>20090601</startdate><enddate>20090601</enddate><creator>NATALE, Vincenzo</creator><creator>PLAZZI, Giuseppe</creator><creator>MARTONI, Monica</creator><general>American Academy of Sleep Medicine</general><general>Associated Professional Sleep Societies, LLC</general><scope>IQODW</scope><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><scope>5PM</scope></search><sort><creationdate>20090601</creationdate><title>Actigraphy in the Assessment of Insomnia: A Quantitative Approach</title><author>NATALE, Vincenzo ; PLAZZI, Giuseppe ; MARTONI, Monica</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c484t-c46eddbd655beed2de54e7fb0adcf78ea45f1677812ef6671c554ba9724d89bf3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Aged</topic><topic>Assessing Insomnia With Actigraphy</topic><topic>Behavioral psychophysiology</topic><topic>Biological and medical sciences</topic><topic>Child</topic><topic>Data Interpretation, Statistical</topic><topic>Databases, Factual</topic><topic>Disorders of higher nervous function. Focal brain diseases. Central vestibular syndrome and deafness. Brain stem syndromes</topic><topic>Female</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Humans</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Middle Aged</topic><topic>Monitoring, Ambulatory - instrumentation</topic><topic>Monitoring, Ambulatory - statistics & numerical data</topic><topic>Nervous system (semeiology, syndromes)</topic><topic>Neurology</topic><topic>Polysomnography - instrumentation</topic><topic>Polysomnography - statistics & numerical data</topic><topic>Psychology. Psychoanalysis. Psychiatry</topic><topic>Psychology. Psychophysiology</topic><topic>Reference Values</topic><topic>Reproducibility of Results</topic><topic>Retrospective Studies</topic><topic>ROC Curve</topic><topic>Sleep Initiation and Maintenance Disorders - classification</topic><topic>Sleep Initiation and Maintenance Disorders - diagnosis</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>NATALE, Vincenzo</creatorcontrib><creatorcontrib>PLAZZI, Giuseppe</creatorcontrib><creatorcontrib>MARTONI, Monica</creatorcontrib><collection>Pascal-Francis</collection><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><collection>PubMed Central (Full Participant titles)</collection><jtitle>Sleep (New York, N.Y.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>NATALE, Vincenzo</au><au>PLAZZI, Giuseppe</au><au>MARTONI, Monica</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Actigraphy in the Assessment of Insomnia: A Quantitative Approach</atitle><jtitle>Sleep (New York, N.Y.)</jtitle><addtitle>Sleep</addtitle><date>2009-06-01</date><risdate>2009</risdate><volume>32</volume><issue>6</issue><spage>767</spage><epage>771</epage><pages>767-771</pages><issn>0161-8105</issn><eissn>1550-9109</eissn><coden>SLEED6</coden><abstract>The lack of quantitative criteria for identifying insomnia using actigraphy represents an unresolved limit for the use of actigraphy in a clinical setting. The current study was conducted to evaluate the most efficient actigraphic parameter in the assessment of insomnia and to suggest preliminary quantitative actigraphic criteria (QAC).
Performing a retrospective study we recovered 408 actigraphic records from 3 sleep measure databases: 2 regarding insomnia patients (n = 126) and one normal sleepers (n = 282). We compared the 2 samples analyzing the following actigraphic sleep parameters: time in bed (TIB), sleep onset latency (SOL), total sleep time (TST), wake after sleep onset (WASO), sleep efficiency percentage (SE%), number of awakenings longer than 5 minutes (NA > 5) and mean motor activity (MA). Moreover, a linear discriminant function (LDF) was developed to identify and combine the most useful actigraphic sleep parameters to separate insomnia patients from normal sleepers. Using Youden index we calculated the preliminary QAC for each actigraphic sleep parameter and for LDF. Receiver operator characteristic (ROC) curves for classifying the accuracy of QAC were performed.
All sleep parameters recorded by actigraphy significantly differentiated the 2 groups, except TIB. An LDF analysis showed that the most useful combination of actigraphic sleep parameters to assess insomnia was TST, SOL, and NA > 5, which obtained the best ROC and the best balance between positive and negative predictive values compared to any single actigraphic parameter.
Actigraphy provided a satisfactory objective measurement of sleep quality in insomnia patients. The combination of TST, SOL, and NA > 5 proved the best way to assess insomnia using actigraphy. Acknowledging that the lack of a technological standard and some methodological limitations prevent us generalizing our results, we recommend additional studies on larger populations using different actigraph models.</abstract><cop>Darien, IL</cop><pub>American Academy of Sleep Medicine</pub><pmid>19544753</pmid><doi>10.1093/sleep/32.6.767</doi><tpages>5</tpages><oa>free_for_read</oa></addata></record> |
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| source | MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Oxford University Press Journals All Titles (1996-Current); Alma/SFX Local Collection |
| subjects | Adolescent Adult Aged Assessing Insomnia With Actigraphy Behavioral psychophysiology Biological and medical sciences Child Data Interpretation, Statistical Databases, Factual Disorders of higher nervous function. Focal brain diseases. Central vestibular syndrome and deafness. Brain stem syndromes Female Fundamental and applied biological sciences. Psychology Humans Male Medical sciences Middle Aged Monitoring, Ambulatory - instrumentation Monitoring, Ambulatory - statistics & numerical data Nervous system (semeiology, syndromes) Neurology Polysomnography - instrumentation Polysomnography - statistics & numerical data Psychology. Psychoanalysis. Psychiatry Psychology. Psychophysiology Reference Values Reproducibility of Results Retrospective Studies ROC Curve Sleep Initiation and Maintenance Disorders - classification Sleep Initiation and Maintenance Disorders - diagnosis Young Adult |
| title | Actigraphy in the Assessment of Insomnia: A Quantitative Approach |
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