0331 ACTIGRAPHY IN INSOMNIA WITH AND WITHOUT EVENT-MARKING Article Swipe
Gail Koshorek
,
Dana Withrow
,
Thomas Röth
,
Timothy Roehrs
·
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.1093/sleepj/zsx050.330
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.1093/sleepj/zsx050.330
Use of actigraphy (ACT) in insomnia to objectively document sleep remains problematic primarily due to its insensitivity for wakefulness. One approach to enhancing validity is use of participant event marking to document time-in-bed (TIB). We sought to determine whether event marking TIB enhances ACT validity to PSG compared to soft-ware determined TIB. Persons (N=16), aged 23–61 yrs, meeting DSM-V criteria for insomnia and a PSG sleep efficiency of ≤85%, no other sleep, psychiatric or drug dependency disorders and in good health were recruited. Following a screening 8-hr nocturnal PSG participants returned home with Actiwatchs (Spectrum Plus, Phillips Healthcare, Bend OR) to be worn nightly for 7 consecutive nights. Instructions were to spend 7–9 hrs in bed and to press event markers when trying to sleep and arising in the morning. ACT data were analyzed using the Phillips Actiware 6 software. The sleep parameters derived from the software (AUTO) determined TIB were compared to those of the event-marked (MARK) TIB for validation to PSG. The sleep parameters compared were total sleep time (TST), sleep efficiency (SE), sleep latency (LAT), wake after sleep onset (WASO), and number of awakenings (NWAK). TIB was not marked in 10% of the total 112 nights and means over the first 3 nights were used for comparisons. While MARK data correlated significantly (p<.05) to PSG on TST(r=.61), SE (r=.83), and LAT (r=.58), no AUTO generated parameters did. The correlation coefficient for PSG to AUTO vs MARK SE was significantly smaller (t=2.46, p<.05). Relative to MARK, AUTO overestimated TST (t=2.61, p<.02) and showed a trend (p<.10) for underestimating WASO and NWAK. In insomnia ACT validity to PSG is enhanced by requiring that participants use an event marker to indicate TIB and data loss due to failure to use the event marker is relatively low (10%). NIDA, grant#: R01DA038177 awarded to Dr. Roehrs.
Related Topics
Concepts
Actigraphy
Insomnia
Sleep onset
Sleep (system call)
Wakefulness
Morning
Sleep diary
Sleep onset latency
Polysomnography
Medicine
Psychology
Psychiatry
Electroencephalography
Internal medicine
Computer science
Operating system
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1093/sleepj/zsx050.330
- https://academic.oup.com/sleep/article-pdf/40/suppl_1/A122/16981275/zsx050.330.pdf
- OA Status
- bronze
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2609783885
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2609783885Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1093/sleepj/zsx050.330Digital Object Identifier
- Title
-
0331 ACTIGRAPHY IN INSOMNIA WITH AND WITHOUT EVENT-MARKINGWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2017Year of publication
- Publication date
-
2017-04-28Full publication date if available
- Authors
-
Gail Koshorek, Dana Withrow, Thomas Röth, Timothy RoehrsList of authors in order
- Landing page
-
https://doi.org/10.1093/sleepj/zsx050.330Publisher landing page
- PDF URL
-
https://academic.oup.com/sleep/article-pdf/40/suppl_1/A122/16981275/zsx050.330.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
bronzeOpen access status per OpenAlex
- OA URL
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https://academic.oup.com/sleep/article-pdf/40/suppl_1/A122/16981275/zsx050.330.pdfDirect OA link when available
- Concepts
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Actigraphy, Insomnia, Sleep onset, Sleep (system call), Wakefulness, Morning, Sleep diary, Sleep onset latency, Polysomnography, Medicine, Psychology, Psychiatry, Electroencephalography, Internal medicine, Computer science, Operating systemTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.PSG | 46, 64, 88, 217, 234, 268 |
| abstract_inverted_index.TIB | 41, 149, 158, 188, 281 |
| abstract_inverted_index.TST | 250 |
| abstract_inverted_index.The | 140, 163, 230 |
| abstract_inverted_index.Use | 0 |
| abstract_inverted_index.and | 62, 77, 116, 125, 183, 199, 222, 253, 261, 282 |
| abstract_inverted_index.bed | 115 |
| abstract_inverted_index.due | 13, 285 |
| abstract_inverted_index.for | 17, 60, 104, 159, 208, 233, 258 |
| abstract_inverted_index.hrs | 113 |
| abstract_inverted_index.its | 15 |
| abstract_inverted_index.low | 295 |
| abstract_inverted_index.not | 190 |
| abstract_inverted_index.the | 128, 135, 145, 155, 195, 202, 290 |
| abstract_inverted_index.use | 25, 275, 289 |
| abstract_inverted_index.was | 189, 240 |
| abstract_inverted_index.8-hr | 86 |
| abstract_inverted_index.AUTO | 226, 236, 248 |
| abstract_inverted_index.Bend | 98 |
| abstract_inverted_index.MARK | 211, 238 |
| abstract_inverted_index.PSG. | 162 |
| abstract_inverted_index.TIB. | 51 |
| abstract_inverted_index.WASO | 260 |
| abstract_inverted_index.aged | 54 |
| abstract_inverted_index.data | 131, 212, 283 |
| abstract_inverted_index.did. | 229 |
| abstract_inverted_index.drug | 74 |
| abstract_inverted_index.from | 144 |
| abstract_inverted_index.good | 79 |
| abstract_inverted_index.home | 91 |
| abstract_inverted_index.loss | 284 |
| abstract_inverted_index.over | 201 |
| abstract_inverted_index.that | 273 |
| abstract_inverted_index.time | 170 |
| abstract_inverted_index.used | 207 |
| abstract_inverted_index.wake | 178 |
| abstract_inverted_index.were | 81, 109, 132, 150, 167, 206 |
| abstract_inverted_index.when | 121 |
| abstract_inverted_index.with | 92 |
| abstract_inverted_index.worn | 102 |
| abstract_inverted_index.yrs, | 56 |
| abstract_inverted_index.(ACT) | 3 |
| abstract_inverted_index.(SE), | 174 |
| abstract_inverted_index.7–9 | 112 |
| abstract_inverted_index.DSM-V | 58 |
| abstract_inverted_index.MARK, | 247 |
| abstract_inverted_index.NIDA, | 297 |
| abstract_inverted_index.NWAK. | 262 |
| abstract_inverted_index.Plus, | 95 |
| abstract_inverted_index.While | 210 |
| abstract_inverted_index.after | 179 |
| abstract_inverted_index.event | 28, 39, 119, 277, 291 |
| abstract_inverted_index.first | 203 |
| abstract_inverted_index.means | 200 |
| abstract_inverted_index.onset | 181 |
| abstract_inverted_index.other | 70 |
| abstract_inverted_index.press | 118 |
| abstract_inverted_index.sleep | 9, 65, 124, 141, 164, 169, 172, 175, 180 |
| abstract_inverted_index.spend | 111 |
| abstract_inverted_index.those | 153 |
| abstract_inverted_index.total | 168, 196 |
| abstract_inverted_index.trend | 256 |
| abstract_inverted_index.using | 134 |
| abstract_inverted_index.(10%). | 296 |
| abstract_inverted_index.(AUTO) | 147 |
| abstract_inverted_index.(LAT), | 177 |
| abstract_inverted_index.(MARK) | 157 |
| abstract_inverted_index.(TIB). | 33 |
| abstract_inverted_index.(TST), | 171 |
| abstract_inverted_index.health | 80 |
| abstract_inverted_index.marked | 191 |
| abstract_inverted_index.marker | 278, 292 |
| abstract_inverted_index.nights | 198, 205 |
| abstract_inverted_index.number | 184 |
| abstract_inverted_index.p<.02) | 252 |
| abstract_inverted_index.showed | 254 |
| abstract_inverted_index.sleep, | 71 |
| abstract_inverted_index.sought | 35 |
| abstract_inverted_index.trying | 122 |
| abstract_inverted_index.(N=16), | 53 |
| abstract_inverted_index.(NWAK). | 187 |
| abstract_inverted_index.(WASO), | 182 |
| abstract_inverted_index.(p<.05) | 215 |
| abstract_inverted_index.(p<.10) | 257 |
| abstract_inverted_index.23–61 | 55 |
| abstract_inverted_index.Persons | 52 |
| abstract_inverted_index.Roehrs. | 303 |
| abstract_inverted_index.arising | 126 |
| abstract_inverted_index.awarded | 300 |
| abstract_inverted_index.derived | 143 |
| abstract_inverted_index.failure | 287 |
| abstract_inverted_index.grant#: | 298 |
| abstract_inverted_index.latency | 176 |
| abstract_inverted_index.markers | 120 |
| abstract_inverted_index.marking | 29, 40 |
| abstract_inverted_index.meeting | 57 |
| abstract_inverted_index.nightly | 103 |
| abstract_inverted_index.nights. | 107 |
| abstract_inverted_index.p<.05). | 244 |
| abstract_inverted_index.remains | 10 |
| abstract_inverted_index.smaller | 242 |
| abstract_inverted_index.whether | 38 |
| abstract_inverted_index.≤85%, | 68 |
| abstract_inverted_index.(r=.58), | 224 |
| abstract_inverted_index.(r=.83), | 221 |
| abstract_inverted_index.(t=2.46, | 243 |
| abstract_inverted_index.(t=2.61, | 251 |
| abstract_inverted_index.Actiware | 137 |
| abstract_inverted_index.Phillips | 96, 136 |
| abstract_inverted_index.Relative | 245 |
| abstract_inverted_index.analyzed | 133 |
| abstract_inverted_index.approach | 20 |
| abstract_inverted_index.compared | 47, 151, 166 |
| abstract_inverted_index.criteria | 59 |
| abstract_inverted_index.document | 8, 31 |
| abstract_inverted_index.enhanced | 270 |
| abstract_inverted_index.enhances | 42 |
| abstract_inverted_index.indicate | 280 |
| abstract_inverted_index.insomnia | 5, 61, 264 |
| abstract_inverted_index.morning. | 129 |
| abstract_inverted_index.returned | 90 |
| abstract_inverted_index.software | 146 |
| abstract_inverted_index.validity | 23, 44, 266 |
| abstract_inverted_index.(Spectrum | 94 |
| abstract_inverted_index.Following | 83 |
| abstract_inverted_index.determine | 37 |
| abstract_inverted_index.disorders | 76 |
| abstract_inverted_index.enhancing | 22 |
| abstract_inverted_index.generated | 227 |
| abstract_inverted_index.nocturnal | 87 |
| abstract_inverted_index.primarily | 12 |
| abstract_inverted_index.requiring | 272 |
| abstract_inverted_index.screening | 85 |
| abstract_inverted_index.soft-ware | 49 |
| abstract_inverted_index.software. | 139 |
| abstract_inverted_index.Actiwatchs | 93 |
| abstract_inverted_index.actigraphy | 2 |
| abstract_inverted_index.awakenings | 186 |
| abstract_inverted_index.correlated | 213 |
| abstract_inverted_index.dependency | 75 |
| abstract_inverted_index.determined | 50, 148 |
| abstract_inverted_index.efficiency | 66, 173 |
| abstract_inverted_index.parameters | 142, 165, 228 |
| abstract_inverted_index.recruited. | 82 |
| abstract_inverted_index.relatively | 294 |
| abstract_inverted_index.validation | 160 |
| abstract_inverted_index.Healthcare, | 97 |
| abstract_inverted_index.R01DA038177 | 299 |
| abstract_inverted_index.TST(r=.61), | 219 |
| abstract_inverted_index.coefficient | 232 |
| abstract_inverted_index.consecutive | 106 |
| abstract_inverted_index.correlation | 231 |
| abstract_inverted_index.objectively | 7 |
| abstract_inverted_index.participant | 27 |
| abstract_inverted_index.problematic | 11 |
| abstract_inverted_index.psychiatric | 72 |
| abstract_inverted_index.time-in-bed | 32 |
| abstract_inverted_index.Instructions | 108 |
| abstract_inverted_index.comparisons. | 209 |
| abstract_inverted_index.event-marked | 156 |
| abstract_inverted_index.participants | 89, 274 |
| abstract_inverted_index.wakefulness. | 18 |
| abstract_inverted_index.insensitivity | 16 |
| abstract_inverted_index.overestimated | 249 |
| abstract_inverted_index.significantly | 214, 241 |
| abstract_inverted_index.underestimating | 259 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 4 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.6600000262260437 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.05082468 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |