Department of Military Medical Geography, Army Medical Service Training Base, Army Medical University, Chongqing 400038, China
* 333333@163.com
纸质出版:2020-06
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Sex-based differences in the prevalence of acute mountain sickness: a meta-analysis[J]. MMR, 2020,7(2):228-238.
Cite this article as: Hou et al.: Sex-based differences in the prevalence of acute mountain sickness: a meta-analysis. Mil Med Res, 2019, 6: 38
Sex-based differences in the prevalence of acute mountain sickness: a meta-analysis[J]. MMR, 2020,7(2):228-238. DOI: 10.1186/s40779-019-0228-3.
Cite this article as: Hou et al.: Sex-based differences in the prevalence of acute mountain sickness: a meta-analysis. Mil Med Res, 2019, 6: 38 DOI: 10.1186/s40779-019-0228-3.
Background:
2
When lowlanders rapidly ascend to altitudes >2500 m
they may develop acute mountain sickness (AMS). The individual susceptibility
ascending velocity
time spent at altitude
activity levels and altitude reached are considered risk factors for AMS. However
it is not clear whether sex is a risk factor. The results have been inconclusive. We conducted a meta-analysis to test whether there were sex-based differences in the prevalence of AMS using Lake Louise Scoring System.
Methods:
2
Systematic searches were performed in August 2019 in EMBASE
PubMed
and Web of Science for prospective studies with AMS data for men and women. The titles and abstracts were independently checked in the primary screening step
and the selected full-text articles were independently assessed in the secondary screening step by the two authors (YPH and JLW) based on pre-defined inclusion criteria. The meta-analysis was performed using by the STATA 14.1 software program. A random-effects model was employed.
Results:
2
Eighteen eligible prospective studies were included. A total of 7669 participants (2639[34.4%] women) were tested. The results showed that there was a statistically significant higher prevalence rate of AMS in women than in men (
RR
=1.24
95%CI 1.09–1.41)
regardless of age or race. However
the heterogeneity was significant in the analysis (Tau
2
=0.0403
Chi
2
=50.15
df
=17;
I
2
=66.1%
P
=0.000)
it was main caused by different numbers of subjects among the studies (coefficient=–2.17
P
=0.049). Besides
the results showed that there was no evidence of significant publication bias in the combined studies on the basis of Egger’s test (bias coefficient=1.48
P
=0.052) and Begg’s test (
P
=0.130).
Conclusions:
2
According to this study
the statistically significant finding emerging from this study was that women have a higher prevalence of AMS. However
the authors could not exclude studies where patients were on acetazolamide. Our analysis provided a direction for future studies of the relationship of sex and the risk of AMS
such as the pathological mechanism and prevention research.
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