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Fit indices used to identify number of latent classes.
Fit indices used to identify number of latent classes. -
Predictive accuracies of the regression models on PHQ-9 scores.
Predictive accuracies of the regression models on PHQ-9 scores. -
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Weighted diagnostics odds ratios (DORs) of selected screening tools. -
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Disorders for which screening tools were validated by studies included in this review. -
Distribution of yellow flags in PHQ-2 and GAD-2 in the three CTQ-clusters.
Distribution of yellow flags in PHQ-2 and GAD-2 in the three CTQ-clusters. -
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BackgroundA wide range of screening tools are available to detect common mental disorders (CMDs), but few have been specifically developed for populations in low and middle... -
Baseline characteristics and group comparsion of the imputed sample (m = 100).
Baseline characteristics and group comparsion of the imputed sample (m = 100). -
Differences in costs and QALY during 6 months follow-up.
Differences in costs and QALY during 6 months follow-up. -
Goodness-of-fit indices of two CFA models of the SCPSS-10 (n = 548).
Goodness-of-fit indices of two CFA models of the SCPSS-10 (n = 548). -
Predictive accuracies of the regression models on GAD-7 scores.
Predictive accuracies of the regression models on GAD-7 scores. -
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Summary of the factorial structures of different versions of the PDI. -
Characteristics of the study population.
SD = standard deviation; BMI = body mass index; BFP = Body fat percentage measured with bioelectrical impedance [24]; WHR = waist-hip ratio; HGS = handgrip strength, the highest... -
Inter-subscale correlations of the PDI-MV and concurrent validity measures.
Inter-subscale correlations of the PDI-MV and concurrent validity measures. -
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Unadjusted costs, health-related quality of life and QALY after 1 month, after months 2–5 and after 6 months follow-up. -
Association between EQ-5D and SSS-8 from linear regression models by sex and ...
Association between EQ-5D and SSS-8 from linear regression models by sex and age.
