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The COVID-19 pandemic underscored the issue of vaccine hesitancy, leading researchers to study the determinants of people's willingness to receive the COVID-19 vaccine. This study is the first to comprehensively investigate the role of preventive practices at both the individual and contextual level, drawing on the theoretical concept of "cultural health capital". Utilizing data from the Survey of Health, Ageing, and Retirement (SHARE), covering information from 18,454 individuals aged 50 years and above residing in 25 European countries, we examined the influence of past engagement in preventive practices and the prevalence of such practices within a country on the likelihood of COVID-19 vaccine uptake. Our analysis included (i) previous vaccination behaviors, (ii) other healthcare-related behaviors, and (iii) lifestyle factors at both the individual and contextual levels. Leveraging the longitudinal design of the SHARE, we accounted for the temporal ordering of the relationships. At the individual level, almost all preventive behaviors were significantly related to people's willingness to receive the COVID-19 vaccine. Individuals who (i) had received an influenza vaccination prior to the COVID-19 outbreak and during childhood, (ii) had regularly participated in dental and blood pressure check-ups throughout their lives, and (iii) did not engage in lifestyle-related risk behaviors, were more likely to accept the COVID-19 vaccine. Notably, alcohol use was not significantly associated. At the contextual level, only the vaccination coverage rate for influenza was found to be robustly related, indicating that individuals were more inclined to receive the COVID-19 vaccine in countries with higher influenza vaccination rates prior to the pandemic. Active participation in preventive practices and effective implementation of vaccination campaigns can contribute to the development of (institutional) cultural health capital, which ultimately promotes a greater willingness to get vaccinated against COVID-19. • Individual and contextual factors are related to COVID-19 vaccine hesitancy. • Prior preventive practices relate to lower COVID-19 vaccine hesitancy. • Higher pre-COVID influenza vaccination relate to lower COVID-19 vaccine hesitancy. • (Institutionalized) social learning effects play a key role. • The concept of cultural health capital deserves further attention within the field. [ABSTRACT FROM AUTHOR]

Inflammation has a significant impact on cervical cancer (CC) development and therapy response. We sought to determine if splenic metabolic activity reflects host immune status and could improve prognostic and predictive categorization of CC. Ninety-two consecutive patients with FIGO stage IB1 to IVB CC who received neo-adjuvant (chemo)radiation (NA-CRT) with curative intent were included. PET scans were performed at diagnosis and after completion of the NA-CRT. PET images were retrospectively assessed for pretreatment spleen-to-liver SUV ratio (preSLR), posttreatment spleen-to-liver SUV ratio (postSLR) and ΔSLR (post-pre) on Oasis Nuclear Medicine Workstations. (Δ)SLR was calculated as both (Δ)SLR max and (Δ)SLR mean. The prognostic (DFS) and predictive (pCR) abilities of these variables together with established predictors were calculated by C-index and ROC analysis, respectively. The optimal long-rank statistic and Youden index determined cutoff values. Multivariate Cox proportional hazard regression models were ranked based on their Akaike information criterion (AIC). Clinicopathological differences between patients with low or high SLR were performed by chi-square and Mann-Whitney U tests. For preSLR max and preSLR mean , association with DFS was found for preSLR max >0.92 with HR = 2.25 (95% CI (1.08-4.66); p = 0.026) and for preSLR mean >0.94 with HR = 2.79 (95% CI (1.33-5.86); p = 0.005), respectively. The selected multivariate model consisted of three factors: preSLR max , ΔSLR max and parametrial invasion (dichotomized; HR = 6.40 95% CI (2.70-15.20); p < 0.001). The model's prognostic ability was quite favorable compared to FIGO staging (C-index 0.69 vs. 0.64). Further, uni- and multivariate analyses suggest that both low preSLR max and low preSLR mean influence pCR. Patients (n = 31) with high preSLR max had a higher density of CD3+,CD4+, CD8+, CD20+(77.8% vs. 36.4%; p = 0.036), CD68+ (88.9% vs. 40.9%; p = 0.015), CD163+, FoxP3+and PD-L1+immune cells, as well as PD-L1+tumor cells (85.7% vs. 55.6%; p = 0.019) in the primary tumor using IHC; the same trends were observed for preSLR mean SLR is a promising prognostic and predictive biomarker in CC and is associated with the tumor immune infiltrate. Ghent University Hospital. Research Foundation-Flanders (FWO). E.A. De Jaeghere: Travel / Accommodation / Expenses: PharmaMar. F. Laloo: Honoraria (institution): Bayer. K. De Man: Travel / Accommodation / Expenses: Bayer. H. Denys: Honoraria (institution), Travel / Accommodation / Expenses: Pfizer; Honoraria (institution), Research grant / Funding (institution), Travel / Accommodation / Expenses: Roche; Honoraria (institution), Travel / Accommodation / Expenses: PharmaMar; Travel / Accommodation / Expenses: Teva; Honoraria (institution), Travel / Accommodation / Expenses: AstraZeneca; Honoraria (institution): Eli Lilly and Company; Honoraria (institution): Novartis; Honoraria (institution): Amgen; Honoraria (institution): Tesaro. K. Vandecasteele: Travel / Accommodation / Expenses: PharmaMar. All other authors have declared no conflicts of interest. [ABSTRACT FROM AUTHOR]