@entity308 Symptom Severity and XXXX in Healthy and Depressed Adults: A Systematic Review and Meta-Analysis.

@entity1 @entity410 @entity308 @entity26
BACKGROUND: @entity308 symptom severity and @entity410 ( @entity410 ) are significant predictors of mortality and disability. However, the relationship between the two is unclear. OBJECTIVE: This meta-analysis assessed the relationship between @entity308 symptom severity and @entity410 in healthy and depressed adults (aged 18  years and over). SEARCH METHODS: The PubMed, Cochrane Library, Google Scholar and ProQuest databases were browsed for relevant English-language studies published from January 2000 to August 2014. SELECTION CRITERIA: Studies reporting a correlation between a @entity308 scale and maximum @entity26 consumption (VO2peak), as well as studies from the data of which such a correlation could be calculated, were included in this analysis. DATA ANALYSIS: Correlation coefficients (CCs) were converted to Fisher's z  values, and the analysis was performed using a random-effects model. Then, summary effects and 95  % confidence intervals (CIs) were converted back to CCs. RESULTS: Sixteen studies (totalling 4039 @entity1 ) were included in this analysis. A modest correlation between @entity308 symptom severity and @entity410 was found (CC -0.16, 95  %  CI -0.21 to -0.10), appearing stronger in male @entity1 (CC  -  0.22, 95  %  CI -0.26 to -0.18) than in female @entity1 (CC -0.12, 95  %  CI -0.19 to -0.05; p  =  0.01). There was no difference in the summary effect between healthy and depressed adults (p  =  0.43). Heterogeneity was moderate (I (2)  =  33  %; p  =  0.09). CONCLUSIONS: @entity308 symptom severity is inversely correlated with @entity410 , and this correlation is stronger in @entity1 than in @entity1 . Clinical and prognostic implications of the correlation are discussed. These findings should stimulate further research on the effects of treating one variable on the other.
