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International Journal of Mental Health Systems

, 8:19

First Online: 18 May 2014Received: 19 January 2014Accepted: 13 May 2014

Abstract

BackgroundPrevious cross-temporal meta-analyses have demonstrated that anxiety would get severer over time. The changes of anxiety in Chinese military personnels over time remain unclear.

AimTo explore the changes of anxiety in Chinese military personnels over nearly past two decades.

MethodsStudies using the Chinese version of Spielberger’s State-Trait Anxiety Inventory STAI in Chinese serviceman on active duty were primarily collected. Mean, standard deviation and sample size of each study were extracted for meta-analysis. With sample size of each study as weighted least-squares weight, we regressed the mean scores on the data collection year to evaluate changes in anxiety from 1991 to 2011. Correlations between the anxiety scores and some social indicators were also examined.

ResultsThe final sample consisted of 45 separate studies with a total of 18,106 participants for state anxiety and 21,047 participants for trait anxiety. Both state anxiety and trait anxiety significantly increased over the past two decades. The effect sizes for state anxiety and trait anxiety were 0.88 and 0.63, respectively. Anxiety scores were significantly correlated with some social indicators e.g., crime rate, unemployment rate of the corresponding years or 5 years prior to the anxiety data collection.

ConclusionsSome measures must be taken to tackle the problem of the rising anxiety scores. Given that Chinese military personnels are continuing to experience high levels of anxiety, it is crucial to consider the implications for mental health care and treatment. More cross-temporal meta-analyses are needed to examine the changes of mental health in Chinese military personnels over time.

KeywordsAnxiety Cross-temporal meta-analysis Military Electronic supplementary materialThe online version of this article doi:10.1186-1752-4458-8-19 contains supplementary material, which is available to authorized users.

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Autor: Zhibing Yang - Fei Cao - Huijie Lu - Xia Zhu - Danmin Miao

Fuente: https://link.springer.com/







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