10 research outputs found

    Additional file 4: of The cross-interaction between global and age-comparative self-rated health on depressive symptoms–considering both the individual and combined effects

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    Table S1. The association between covariates and SRHs. SRH means self-rated health. SRH-global is general self rated health, while SRH-age is age-comparative self–rated health. Chi-square tests were performed for statistical tests. (21 kb

    Additional file 3: of The cross-interaction between global and age-comparative self-rated health on depressive symptoms–considering both the individual and combined effects

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    Figure S3. Values of estimates for CES-D by each nine SRH-combined categories by gender. SRH means self-rated health. SRH-global is general self rated health, while SRH-age is age-comparative self–rated health. Among men, subjects with low SRH-age and all kinds of SRH-global levels (low; b = 0.825, p < 0.001, middle; b = 0.472, p = 0.006, high; b = 0.696, p = 0.001) had higher CESD compared to the reference middle SRH-global * middle SRH-age group. Similarly, women with low SRH-global * low SRH-age (b = 0.553, p < 0.001) and middle SRH-global * low SRH-age (b = 0.286, p = 0.037) showed association with higher CESD. However, there was no statistical difference in women with high SRH-global * low SRH-age group although the estimate was positive (b = 0.377, p = 0.064). (DOCX 18 kb

    Additional file 2: of The cross-interaction between global and age-comparative self-rated health on depressive symptoms–considering both the individual and combined effects

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    Figure S2. CESD by SRH-global and SRH-age separately, according to the quartile income group. SRH means self-rated health. SRH-global is general self rated health, while SRH-age is age-comparative self –rated health. The vertical axis means the estimates of CESD and the horizontal one is four income categories from low to high group. * p < 0.05 **p < 0.001. (JPG 80 kb

    Additional file 1: of Predictors of adverse pathologic features after radical prostatectomy in low-risk prostate cancer

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    Figure S1. Receiver operator characteristics (ROC) curve of PSA levels, number of positive cores and multivariable logistic regression model incorporating PSA levels and number of positive cores for predicting presence of adverse pathologic features. If we considered both parameters to predict APFs, it would have shown slightly better outcomes for predictions (AUC = 0.662). (JPG 31 kb

    Results of subgroup analyses of multi-level models by age group, types of insurance coverage, experience of pre-hospitalization, drug treatment, region, and number of regional medical centers.

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    <p>Results of subgroup analyses of multi-level models by age group, types of insurance coverage, experience of pre-hospitalization, drug treatment, region, and number of regional medical centers.</p
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