NDLI: Identification of the risk factors for insomnia in nurses with long COVID-19

Content Provider	Springer Nature : BioMed Central
Author	Ye, Lingxiao Zhang, Feng Wang, Lili Chen, Yufei Shi, Jiaran Cai, Tingting
Abstract	Purpose To investigate the prevalence of insomnia among nurses with long COVID-19, analyze the potential risk factors and establish a nomogram model. Methods Nurses in Ningbo, China, were recruited for this study. General demographic information and insomnia, burnout, and stress assessment scores were collected through a face-to face questionnaire survey administered at a single center from March to May 2023. We used LASSO regression to identify potential factors contributing to insomnia. Then, a nomogram was plotted based on the model chosen to visualize the results and evaluated by receiver operating characteristic curves and calibration curves. Results A total of 437 nurses were recruited. 54% of the nurses had insomnia according to the Insomnia Severity Index (ISI) score. Eleven variables, including family structure, years of work experience, relaxation time, respiratory system sequelae, nervous system sequelae, others sequelae, attitudes toward COVID-19, sleep duration before infection, previous sleep problems, stress, and job burnout, were independently associated with insomnia. The R-squared value was 0.464, and the area under the curve was 0.866. The derived nomogram showed that neurological sequelae, stress, job burnout, sleep duration before infection, and previous sleep problems contributed the most to insomnia. The calibration curves showed significant agreement between the nomogram models and actual observations. Conclusion This study focused on insomnia among nurses with long COVID-19 and identified eleven risk factors related to nurses’ insomnia. A nomogram model was established to illustrate and visualize these factors, which will be instrumental in future research for identifying nurses with insomnia amid pandemic normalization and may increase awareness of the health status of healthcare workers with long COVID-19.
Related Links	https://bmcnurs.biomedcentral.com/counter/pdf/10.1186/s12912-024-02212-4.pdf
Ending Page	12
Page Count	12
Starting Page	1
File Format	HTM / HTML
ISSN	14726955
DOI	10.1186/s12912-024-02212-4
Journal	BMC Nursing
Issue Number	1
Volume Number	23
Language	English
Publisher	BioMed Central
Publisher Date	2024-08-03
Access Restriction	Open
Subject Keyword	Nursing Nursing Management Nursing Research Long COVID-19 Insomnia Nurses Nomogram
Content Type	Text
Resource Type	Article
Subject	Nursing
Journal Impact Factor	3.1/2023
5-Year Journal Impact Factor	3.5/2023

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Machine learning-driven identification of key risk factors for predicting depression among nurses

Factors associated with insomnia among Chinese front-line nurses fighting against COVID-19 in Wuhan: A cross-sectional survey.

Factors influencing job performance of nurses in COVID-19 care: a study in Egypt

Exploring the experiences of nurses caring for patients with COVID-19: a qualitative study in Iran

Factors associated with burnout among Chinese nurses during COVID-19 epidemic: a cross-sectional study

Risk and prediction of job burnout in responding nurses to public health emergencies

Analysis of the strategies used by iranian nurses for management of provided care for patients with COVID- 19: a qualitative study

Through the eyes of nurses: a content analysis of nurses’ experiences in caring for COVID-19 patients

Factors influencing risk perception and nosocomial infection prevention practices of frontline nurses during the COVID-19 pandemic

Identification of the risk factors for insomnia in nurses with long COVID-19

Similar Documents

Machine learning-driven identification of key risk factors for predicting depression among nurses

Factors associated with insomnia among Chinese front-line nurses fighting against COVID-19 in Wuhan: A cross-sectional survey.

Factors influencing job performance of nurses in COVID-19 care: a study in Egypt

Exploring the experiences of nurses caring for patients with COVID-19: a qualitative study in Iran

Factors associated with burnout among Chinese nurses during COVID-19 epidemic: a cross-sectional study

Risk and prediction of job burnout in responding nurses to public health emergencies

Analysis of the strategies used by iranian nurses for management of provided care for patients with COVID- 19: a qualitative study

Through the eyes of nurses: a content analysis of nurses’ experiences in caring for COVID-19 patients

Factors influencing risk perception and nosocomial infection prevention practices of frontline nurses during the COVID-19 pandemic

Identification of the risk factors for insomnia in nurses with long COVID-19