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For: Pontin F, Lomax N, Clarke G, Morris MA. Socio-demographic determinants of physical activity and app usage from smartphone data. Soc Sci Med 2021;284:114235. [PMID: 34311392 DOI: 10.1016/j.socscimed.2021.114235] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2020] [Revised: 03/19/2021] [Accepted: 07/14/2021] [Indexed: 11/19/2022]
Number Cited by Other Article(s)
1
Lau EY, Mitchell MS, Faulkner G. Long-term usage of a commercial mHealth app: A "multiple-lives" perspective. Front Public Health 2022;10:914433. [PMID: 36438245 PMCID: PMC9685791 DOI: 10.3389/fpubh.2022.914433] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Accepted: 10/13/2022] [Indexed: 11/11/2022]  Open
2
Vieira WDO, Ostolin TLVDP, Simões MDSMP, Proença NL, Dourado VZ. Profile of adults users of smartphone applications for monitoring the level of physical activity and associated factors: A cross-sectional study. Front Public Health 2022;10:966470. [PMID: 36203689 PMCID: PMC9530973 DOI: 10.3389/fpubh.2022.966470] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2022] [Accepted: 08/29/2022] [Indexed: 01/24/2023]  Open
3
Clark S, Lomax N, Morris M, Pontin F, Birkin M. Clustering Accelerometer Activity Patterns from the UK Biobank Cohort. SENSORS (BASEL, SWITZERLAND) 2021;21:8220. [PMID: 34960314 PMCID: PMC8709415 DOI: 10.3390/s21248220] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Revised: 11/19/2021] [Accepted: 12/03/2021] [Indexed: 11/17/2022]
4
Characterisation of Temporal Patterns in Step Count Behaviour from Smartphone App Data: An Unsupervised Machine Learning Approach. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021;18:ijerph182111476. [PMID: 34769991 PMCID: PMC8583116 DOI: 10.3390/ijerph182111476] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Revised: 10/23/2021] [Accepted: 10/25/2021] [Indexed: 12/23/2022]
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