This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (3353) Clinical Information and Decision Making (2006) Insomnia and Sleep Hygiene (259) Wearable Devices and Sensors (1177) Advanced Data Analytics in eHealth (225) mHealth for Data Collection and Research (1223) Perioperative Risk Assessment (32)

Published on in Vol 10 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/79008, first published .
Predictive Modeling of Preoperative Sleep Disorder Risk in Older Adults by Using Data From Wearable Monitoring Devices: Prospective Cohort Study

Predictive Modeling of Preoperative Sleep Disorder Risk in Older Adults by Using Data From Wearable Monitoring Devices: Prospective Cohort Study

Predictive Modeling of Preoperative Sleep Disorder Risk in Older Adults by Using Data From Wearable Monitoring Devices: Prospective Cohort Study

Authors of this article:

Jingjing Li1 Author Orcid Image ;   Binxu Yang1 Author Orcid Image ;   Puzhong Gao1 Author Orcid Image ;   Dan Feng1 Author Orcid Image ;   Xinxin Shao1 Author Orcid Image ;   Xusihong Cai2 Author Orcid Image ;   Shuwen Huang2 Author Orcid Image ;   Yu Huang2 Author Orcid Image ;   Qingde Wa1 Author Orcid Image ;   Jing Zhou1, 2 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Jingjing Li   1 * , MSN ;   Binxu Yang   1 * , MSN ;   Puzhong Gao   1 , BCS ;   Dan Feng   1 , BSN ;   Xinxin Shao   1 , BSN ;   Xusihong Cai   2 , BSN ;   Shuwen Huang   2 , BSN ;   Yu Huang   2 , BSN ;   Qingde Wa   1 , PhD ;   Jing Zhou   1, 2 , PhD

1 The Second Affiliated Hospital of ZunYi Medical University, Zunyi, Guizhou, China

2 School of Nursing, Zunyi Medical University, Zunyi, Guizhou, China

*these authors contributed equally

Corresponding Author:

  • Jing Zhou, PhD
  • The Second Affiliated Hospital of ZunYi Medical University
  • Intersection of Xinlong Ave and Xinpu Ave
  • Xinpu New District
  • Zunyi, Guizhou 563000
  • China
  • Phone: 86 15085116669
  • Email: 15085116669@163.com