Mobility-Based Smartphone Digital Phenotypes for Unobtrusively Capturing Everyday Cognition, Mood, and Community Life-Space in Older Adults: Feasibility, Acceptability, and Preliminary Validity Study.
Saved in:
| Title: | Mobility-Based Smartphone Digital Phenotypes for Unobtrusively Capturing Everyday Cognition, Mood, and Community Life-Space in Older Adults: Feasibility, Acceptability, and Preliminary Validity Study. |
|---|---|
| Authors: | Hackett, Katherine1, Xu, Shiyun2, McKniff, Moira1, Paglia, Lido3, Barnett, Ian2, Giovannetti, Tania1, tania.giovannetti@temple.edu |
| Source: | JMIR Human Factors; 2024, Vol. 11, p1-31, 31p |
| Database: | Applied Science & Technology Source |
| FullText | Text: Availability: 0 |
|---|---|
| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 182585198 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Mobility-Based Smartphone Digital Phenotypes for Unobtrusively Capturing Everyday Cognition, Mood, and Community Life-Space in Older Adults: Feasibility, Acceptability, and Preliminary Validity Study. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Hackett%2C+Katherine%22">Hackett, Katherine</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Xu%2C+Shiyun%22">Xu, Shiyun</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22McKniff%2C+Moira%22">McKniff, Moira</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Paglia%2C+Lido%22">Paglia, Lido</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AU" term="%22Barnett%2C+Ian%22">Barnett, Ian</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Giovannetti%2C+Tania%22">Giovannetti, Tania</searchLink><relatesTo>1</relatesTo>, <i>tania.giovannetti@temple.edu</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22JMIR+Human+Factors%22">JMIR Human Factors</searchLink>; 2024, Vol. 11, p1-31, 31p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=182585198 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.2196/59974 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 31 StartPage: 1 Titles: – TitleFull: Mobility-Based Smartphone Digital Phenotypes for Unobtrusively Capturing Everyday Cognition, Mood, and Community Life-Space in Older Adults: Feasibility, Acceptability, and Preliminary Validity Study. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Hackett, Katherine – PersonEntity: Name: NameFull: Xu, Shiyun – PersonEntity: Name: NameFull: McKniff, Moira – PersonEntity: Name: NameFull: Paglia, Lido – PersonEntity: Name: NameFull: Barnett, Ian – PersonEntity: Name: NameFull: Giovannetti, Tania IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: 2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 22929495 Numbering: – Type: volume Value: 11 Titles: – TitleFull: JMIR Human Factors Type: main |
| ResultId | 1 |