FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3017029088> ?p ?o ?g. }

• W3017029088 endingPage "e14306" @default.
• W3017029088 startingPage "e14306" @default.
• W3017029088 abstract "Background Wearables have been gaining increasing momentum and have enormous potential to provide insights into daily life behaviors and longitudinal health monitoring. However, to date, there is still a lack of principled algorithmic framework to facilitate the analysis of actigraphy and objectively characterize day-by-day data patterns, particularly in cohorts with sleep problems. Objective This study aimed to propose a principled algorithmic framework for the assessment of activity, sleep, and circadian rhythm patterns in people with posttraumatic stress disorder (PTSD), a mental disorder with long-lasting distressing symptoms such as intrusive memories, avoidance behaviors, and sleep disturbance. In clinical practice, these symptoms are typically assessed using retrospective self-reports that are prone to recall bias. The aim of this study was to develop objective measures from patients’ everyday lives, which could potentially considerably enhance the understanding of symptoms, behaviors, and treatment effects. Methods Using a wrist-worn sensor, we recorded actigraphy, light, and temperature data over 7 consecutive days from three groups: 42 people diagnosed with PTSD, 43 traumatized controls, and 30 nontraumatized controls. The participants also completed a daily sleep diary over 7 days and the standardized Pittsburgh Sleep Quality Index questionnaire. We developed a novel approach to automatically determine sleep onset and offset, which can also capture awakenings that are crucial for assessing sleep quality. Moreover, we introduced a new intuitive methodology facilitating actigraphy exploration and characterize day-by-day data across 49 activity, sleep, and circadian rhythm patterns. Results We demonstrate that the new sleep detection algorithm closely matches the sleep onset and offset against the participants' sleep diaries consistently outperforming an existing open-access widely used approach. Participants with PTSD exhibited considerably more fragmented sleep patterns (as indicated by greater nocturnal activity, including awakenings) and greater intraday variability compared with traumatized and nontraumatized control groups, showing statistically significant (P<.05) and strong associations (|R|>0.3). Conclusions This study lays the foundation for objective assessment of activity, sleep, and circadian rhythm patterns using passively collected data from a wrist-worn sensor, facilitating large community studies to monitor longitudinally healthy and pathological cohorts under free-living conditions. These findings may be useful in clinical PTSD assessment and could inform therapy and monitoring of treatment effects." @default.
• W3017029088 created "2020-04-24" @default.
• W3017029088 creator A5043531964 @default.
• W3017029088 creator A5044536254 @default.
• W3017029088 creator A5076281912 @default.
• W3017029088 date "2020-04-20" @default.
• W3017029088 modified "2023-10-02" @default.
• W3017029088 title "Objective Characterization of Activity, Sleep, and Circadian Rhythm Patterns Using a Wrist-Worn Actigraphy Sensor: Insights Into Posttraumatic Stress Disorder" @default.
• W3017029088 cites W1277966809 @default.
• W3017029088 cites W1505993846 @default.
• W3017029088 cites W1507001215 @default.
• W3017029088 cites W1583598328 @default.
• W3017029088 cites W1895365882 @default.
• W3017029088 cites W1979328449 @default.
• W3017029088 cites W1986694300 @default.
• W3017029088 cites W1996050813 @default.
• W3017029088 cites W1996685790 @default.
• W3017029088 cites W2011114870 @default.
• W3017029088 cites W2012435382 @default.
• W3017029088 cites W2015894300 @default.
• W3017029088 cites W2021093389 @default.
• W3017029088 cites W2029780232 @default.
• W3017029088 cites W2038771066 @default.
• W3017029088 cites W2043619743 @default.
• W3017029088 cites W2065565096 @default.
• W3017029088 cites W2069549970 @default.
• W3017029088 cites W2071310631 @default.
• W3017029088 cites W2075950120 @default.
• W3017029088 cites W2079705951 @default.
• W3017029088 cites W2080631360 @default.
• W3017029088 cites W2084627109 @default.
• W3017029088 cites W2084824221 @default.
• W3017029088 cites W2088111259 @default.
• W3017029088 cites W2096528587 @default.
• W3017029088 cites W2109784184 @default.
• W3017029088 cites W2114214919 @default.
• W3017029088 cites W2123942309 @default.
• W3017029088 cites W2148683313 @default.
• W3017029088 cites W2149775194 @default.
• W3017029088 cites W2151278576 @default.
• W3017029088 cites W2151487996 @default.
• W3017029088 cites W2162420979 @default.
• W3017029088 cites W2164363204 @default.
• W3017029088 cites W2174034877 @default.
• W3017029088 cites W2175639254 @default.
• W3017029088 cites W2180429985 @default.
• W3017029088 cites W2203433805 @default.
• W3017029088 cites W2281709244 @default.
• W3017029088 cites W2321303557 @default.
• W3017029088 cites W2434919075 @default.
• W3017029088 cites W2466601107 @default.
• W3017029088 cites W2538898996 @default.
• W3017029088 cites W2577953363 @default.
• W3017029088 cites W2584016859 @default.
• W3017029088 cites W2612417324 @default.
• W3017029088 cites W2617799788 @default.
• W3017029088 cites W2796393639 @default.
• W3017029088 cites W2796508658 @default.
• W3017029088 cites W2937852880 @default.
• W3017029088 cites W332128417 @default.
• W3017029088 doi "https://doi.org/10.2196/14306" @default.
• W3017029088 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7199134" @default.
• W3017029088 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/32310142" @default.
• W3017029088 hasPublicationYear "2020" @default.
• W3017029088 type Work @default.
• W3017029088 sameAs 3017029088 @default.
• W3017029088 citedByCount "24" @default.
• W3017029088 countsByYear W30170290882020 @default.
• W3017029088 countsByYear W30170290882021 @default.
• W3017029088 countsByYear W30170290882022 @default.
• W3017029088 countsByYear W30170290882023 @default.
• W3017029088 crossrefType "journal-article" @default.
• W3017029088 hasAuthorship W3017029088A5043531964 @default.
• W3017029088 hasAuthorship W3017029088A5044536254 @default.
• W3017029088 hasAuthorship W3017029088A5076281912 @default.
• W3017029088 hasBestOaLocation W30170290881 @default.
• W3017029088 hasConcept C111919701 @default.
• W3017029088 hasConcept C118552586 @default.
• W3017029088 hasConcept C121446783 @default.
• W3017029088 hasConcept C15744967 @default.
• W3017029088 hasConcept C169760540 @default.
• W3017029088 hasConcept C1862650 @default.
• W3017029088 hasConcept C2775841894 @default.
• W3017029088 hasConcept C2776245837 @default.
• W3017029088 hasConcept C2778910407 @default.
• W3017029088 hasConcept C2778996325 @default.
• W3017029088 hasConcept C2781210498 @default.
• W3017029088 hasConcept C2983189541 @default.
• W3017029088 hasConcept C41008148 @default.
• W3017029088 hasConcept C63759246 @default.
• W3017029088 hasConcept C70410870 @default.
• W3017029088 hasConcept C71924100 @default.
• W3017029088 hasConcept C99508421 @default.
• W3017029088 hasConceptScore W3017029088C111919701 @default.
• W3017029088 hasConceptScore W3017029088C118552586 @default.
• W3017029088 hasConceptScore W3017029088C121446783 @default.
• W3017029088 hasConceptScore W3017029088C15744967 @default.
• W3017029088 hasConceptScore W3017029088C169760540 @default.

• next