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Principal Component Analysis and Risk Factors for Acute Mountain Sickness upon Acute Exposure at 3700 m

OBJECTIVE: We aimed to describe the heterogeneity in the clinical presentation of acute mountain sickness (AMS) and to identify its primary risk factors. METHODS: The participants (n = 163) received case report form questionnaires, and their heart rate (HR), oxygen saturation (SpO(2)), echocardiogra...

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Autores principales: Bian, Shi-Zhu, Jin, Jun, Zhang, Ji-Hang, Li, Qian-Ning, Yu, Jie, Yu, Shi-Yong, Chen, Jian-Fei, Yu, Xue-Jun, Qin, Jun, Huang, Lan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4640520/
https://www.ncbi.nlm.nih.gov/pubmed/26554385
http://dx.doi.org/10.1371/journal.pone.0142375
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author Bian, Shi-Zhu
Jin, Jun
Zhang, Ji-Hang
Li, Qian-Ning
Yu, Jie
Yu, Shi-Yong
Chen, Jian-Fei
Yu, Xue-Jun
Qin, Jun
Huang, Lan
author_facet Bian, Shi-Zhu
Jin, Jun
Zhang, Ji-Hang
Li, Qian-Ning
Yu, Jie
Yu, Shi-Yong
Chen, Jian-Fei
Yu, Xue-Jun
Qin, Jun
Huang, Lan
author_sort Bian, Shi-Zhu
collection PubMed
description OBJECTIVE: We aimed to describe the heterogeneity in the clinical presentation of acute mountain sickness (AMS) and to identify its primary risk factors. METHODS: The participants (n = 163) received case report form questionnaires, and their heart rate (HR), oxygen saturation (SpO(2)), echocardiographic and transcranial Doppler variables, ability to perform mental and physical work, mood and psychological factors were assessed within 18 to 22 hours after arriving at 3700 m from sea level (500 m) by plane. First, we examined the differences in all variables between the AMS-positive and the AMS-negative groups. Second, an adjusted regression analysis was performed after correlation and principal component analyses. RESULTS: The AMS patients had a higher diastolic vertebral artery velocity (V(d); p = 0.018), a higher HR (p = 0.006) and a lower SpO(2). The AMS subjects also experienced poorer sleep quality, as quantified using the Athens Insomnia Scale (AIS). Moreover, the AMS population exhibited more negative mood states, including anxiety, depression, hostility, fatigue and confusion. Five principal components focused on diverse aspects were also found to be significant. Additionally, more advanced age (p = 0.007), a higher HR (p = 0.034), a higher V(d) (p = 0.014), a higher AIS score (p = 0.030), a decreased pursuit aiming capacity (p = 0.035) and decreased vigor (p = 0.015) were risk factors for AMS. CONCLUSIONS: Mood states play critical roles in the development of AMS. Furthermore, an elevated HR and V(d), advanced age, elevated AIS sores, insufficient vigor and decreased mental work capacity are independent risk factors for AMS.
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spelling pubmed-46405202015-11-13 Principal Component Analysis and Risk Factors for Acute Mountain Sickness upon Acute Exposure at 3700 m Bian, Shi-Zhu Jin, Jun Zhang, Ji-Hang Li, Qian-Ning Yu, Jie Yu, Shi-Yong Chen, Jian-Fei Yu, Xue-Jun Qin, Jun Huang, Lan PLoS One Research Article OBJECTIVE: We aimed to describe the heterogeneity in the clinical presentation of acute mountain sickness (AMS) and to identify its primary risk factors. METHODS: The participants (n = 163) received case report form questionnaires, and their heart rate (HR), oxygen saturation (SpO(2)), echocardiographic and transcranial Doppler variables, ability to perform mental and physical work, mood and psychological factors were assessed within 18 to 22 hours after arriving at 3700 m from sea level (500 m) by plane. First, we examined the differences in all variables between the AMS-positive and the AMS-negative groups. Second, an adjusted regression analysis was performed after correlation and principal component analyses. RESULTS: The AMS patients had a higher diastolic vertebral artery velocity (V(d); p = 0.018), a higher HR (p = 0.006) and a lower SpO(2). The AMS subjects also experienced poorer sleep quality, as quantified using the Athens Insomnia Scale (AIS). Moreover, the AMS population exhibited more negative mood states, including anxiety, depression, hostility, fatigue and confusion. Five principal components focused on diverse aspects were also found to be significant. Additionally, more advanced age (p = 0.007), a higher HR (p = 0.034), a higher V(d) (p = 0.014), a higher AIS score (p = 0.030), a decreased pursuit aiming capacity (p = 0.035) and decreased vigor (p = 0.015) were risk factors for AMS. CONCLUSIONS: Mood states play critical roles in the development of AMS. Furthermore, an elevated HR and V(d), advanced age, elevated AIS sores, insufficient vigor and decreased mental work capacity are independent risk factors for AMS. Public Library of Science 2015-11-10 /pmc/articles/PMC4640520/ /pubmed/26554385 http://dx.doi.org/10.1371/journal.pone.0142375 Text en © 2015 Bian et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Bian, Shi-Zhu
Jin, Jun
Zhang, Ji-Hang
Li, Qian-Ning
Yu, Jie
Yu, Shi-Yong
Chen, Jian-Fei
Yu, Xue-Jun
Qin, Jun
Huang, Lan
Principal Component Analysis and Risk Factors for Acute Mountain Sickness upon Acute Exposure at 3700 m
title Principal Component Analysis and Risk Factors for Acute Mountain Sickness upon Acute Exposure at 3700 m
title_full Principal Component Analysis and Risk Factors for Acute Mountain Sickness upon Acute Exposure at 3700 m
title_fullStr Principal Component Analysis and Risk Factors for Acute Mountain Sickness upon Acute Exposure at 3700 m
title_full_unstemmed Principal Component Analysis and Risk Factors for Acute Mountain Sickness upon Acute Exposure at 3700 m
title_short Principal Component Analysis and Risk Factors for Acute Mountain Sickness upon Acute Exposure at 3700 m
title_sort principal component analysis and risk factors for acute mountain sickness upon acute exposure at 3700 m
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4640520/
https://www.ncbi.nlm.nih.gov/pubmed/26554385
http://dx.doi.org/10.1371/journal.pone.0142375
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