Proceedings of the 2022 International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2022)

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A Study of the Effect of Online Reviews on Cruise Travel Purchase Intentions

Authors
Jixin Zhou1, Ying Li2, Yajun Fu3, Xiangmei Xie1, *
1Department of Respiratory and Critical Care Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
2School of Nursing, Nanchang University, Nanchang, Jiangxi, China
3Department of Organ Transplantation, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
*Corresponding author. Email: 2961659499@qq.com
Corresponding Author
Xiangmei Xie
Available Online 2 December 2022.
DOI
10.2991/978-94-6463-010-7_48How to use a DOI?
Keywords
Inspiratory Muscle Training; Mechanical Ventilation; Evidence Based Nursing
Abstract

A large number of clinical studies have shown that mechanical ventilation is an important means to improve the airway ventilation and oxygenation status of patients. In this paper, the meta-analysis method was used to analyze the effect of inspiratory muscle training on respiratory muscle function in ICU mechanically ventilated patients. By computer searching PubMed, Embase, The Cochrane Library, Web of Science, China National Knowledge Infrastructure (CNKI), WanFang Data, VIP Chinese Periodical Database (VIP), China Biomedical Literature Database (CBM), From the library to April 2021, the relevant literature on inspiratory muscle training on inspiratory muscle function in ICU mechanically ventilated patients was analyzed. Stata14.0 software was used for Meta-analysis, and the results showed that inspiratory muscle training was helpful to improve patients’ MIP (MD = −1.17, 95%CI−8.7, −0.47, P < 0.05); reduce patients’ mechanical ventilation time [MD = −0.74, 95%CI (−1.42, −0.06), P < 0.05]; reduce the length of hospital stay [MD = −1.87, 95%CI (−3.22, −0.11), P < 0.05]. The study shows that IMT can improve MIT and reduce the length of hospital stay and mechanical ventilation.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2022)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
2 December 2022
ISBN
978-94-6463-010-7
ISSN
2589-4919
DOI
10.2991/978-94-6463-010-7_48How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Jixin Zhou
AU  - Ying Li
AU  - Yajun Fu
AU  - Xiangmei Xie
PY  - 2022
DA  - 2022/12/02
TI  - A Study of the Effect of Online Reviews on Cruise Travel Purchase Intentions
BT  - Proceedings of the 2022 International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2022)
PB  - Atlantis Press
SP  - 453
EP  - 460
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-010-7_48
DO  - 10.2991/978-94-6463-010-7_48
ID  - Zhou2022
ER  -