Identifying IN and OUT of bedtimes in patients with advanced cancer using self-reported methods, accelerometry and automated algorithms: Implications for measures of sleep and circadian rhythmicity

Craig Gouldthorpe, Andrew Davies

Open source

DOI
10.1080/07420528.2026.2703831
Published
2026-07-21
Container
Chronobiology International
Publisher
Informa UK Limited
Open access
unknown

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BibTeX

@article{allodium:10.1080/07420528.2026.2703831,
  title = {Identifying IN and OUT of bedtimes in patients with advanced cancer using self-reported methods, accelerometry and automated algorithms: Implications for measures of sleep and circadian rhythmicity},
  author = {Craig Gouldthorpe and Andrew Davies},
  year = {2026},
  journal = {Chronobiology International},
  doi = {10.1080/07420528.2026.2703831},
  url = {https://doi.org/10.1080/07420528.2026.2703831}
}

RIS

TY  - JOUR
TI  - Identifying IN and OUT of bedtimes in patients with advanced cancer using self-reported methods, accelerometry and automated algorithms: Implications for measures of sleep and circadian rhythmicity
AU  - Craig Gouldthorpe
AU  - Andrew Davies
PY  - 2026
JO  - Chronobiology International
DO  - 10.1080/07420528.2026.2703831
UR  - https://doi.org/10.1080/07420528.2026.2703831
ER  - 

APA

Gouldthorpe, C., & Davies, A. (2026). Identifying IN and OUT of bedtimes in patients with advanced cancer using self-reported methods, accelerometry and automated algorithms: Implications for measures of sleep and circadian rhythmicity. Chronobiology International. https://doi.org/10.1080/07420528.2026.2703831

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