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Background This longitudinal study builds on the cross-sectional work of Karim et al and examines the influence of welfare state regime on population health with a particular focus on East Asian welfare states (eg, Hong Kong, Japan, Korea, Singapore and Taiwan). Methods Data were extracted from the Organisation of Economic Co-operation and Development Data Set, World Development Indicators and Asian Development Bank's key indicators from 1980 to 2006. Infant mortalities and life expectancy were used as health-outcome variables. Thirty-one countries were categorised into six types of welfare regimes: Scandinavian, Anglo-Saxon, Bismarckian, Southern, Eastern European and East Asian. Mixed models were applied to analyse the data with repeated measurements. Results In keeping with Karim et al, Scandinavian and Eastern European welfare states have lower and higher infant mortalities respectively compared with East Asian welfare states. Eastern European welfare states had a lower life expectancy than East Asian welfare states. Most welfare states had a higher social, health and education expenditure, and higher densities of physicians than East Asian welfare states. Conclusion East Asian welfare states did not have worse health than most welfare states. Future studies should continue to incorporate East Asian countries in the typology of welfare regimes that include more social, economic, political and healthcare system characteristic variables to provide insight on the mechanism by which welfare-state regimes influence population health. [ABSTRACT FROM AUTHOR]

Background: The early detection of clinically significant prostate cancer (csPCa) through the integration of multidimensional parameters presents a promising avenue for improving survival outcomes for this fatal disease. This study aimed to assess the contribution of prostate transition zone (TZ) to predictive models based on the prostate health index (PHI), with the goal of enhancing early detection of csPCa in the prostate-specific antigen (PSA) gray zone. Methods: In this observational cross-sectional study, a total of 177 PSA gray zone patients (total prostate-specific antigen [tPSA] level ranging from 4.0 to 10.0 ng/mL) were recruited and received PHI detections from August 2020 to March 2022. Prostatic morphologies especially the TZ morphological parameters were measured by transrectal ultrasound (TRUS). Results: Univariable logistic regression indicated prostatic morphological parameters including total prostate volume (PV) indexes and transitional zone volume indexes were all associated with csPCa (P <.05), while the multivariable analysis demonstrated that C-reactive protein (CRP), PHI, PHI density (PHID), and PHI transition zone density (PHI-TZD) were the 4 independent risk factors. The receiver-operating characteristic (ROC) curve analysis suggested that integrated predictive models (PHID, PHI-TZD) yield area under the curves (AUCs) of 0.9135 and 0.9105 in csPCa prediction, which shows a relatively satisfactory predictive capability compared with other predictors. Moreover, the PHI-TZD outperformed PHID by avoiding 30 patients' unnecessary biopsies while maintaining 74.36% specificity at a sensitivity of 90%. Decision-curve analysis (DCA) confirmed the comparable performance of the multivariable full-risk prediction models, without the inclusion of the net benefit, thereby highlighting the superior diagnostic efficacy of PHID and PHI-TZD in comparison with other diagnostic models, in both univariable and multivariable models. Conclusion: Our data confirmed the value of prostate TZ morphological parameters and suggested a significant advantage for the TZ-adjusted PHI predictive model (PHI-TZD) compared with PHI and PHID in the early detection of gray zone csPCa under specific conditions. [ABSTRACT FROM AUTHOR]