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Place-based mortality inequalities may persist even as short-term associations with local conditions change. We examined age-sex-standardised all-cause mortality in 379 harmonised Polish counties (2010-2025), asking whether durable between-county differences or lagged within-county deviations better characterise mortality geography. Spatial Mundlak generalised additive models allowed non-linear associations and county-specific spatial modification; a pre-COVID model (2010-2019) was compared with overlapping models through 2022 and 2025. In the pre-COVID model, median county average partial slopes per standard deviation were -26.1 deaths per 100,000 for higher education, +29.4 for primary/lower-secondary education and +30.2 for PM2.5. Directions of these between-county gradients persisted across analytical windows. By contrast, within-county associations were less stable and sometimes reversed sign in pandemic-inclusive models. County-level uncertainty indicated stronger and more coherent pre-COVID spatial patterns for education, PM2.5 and population density than for several health-care and migration terms. Strict leave-one-year-out validation revealed weak temporal transportability, particularly for the 2010-2022 model, limiting predictive interpretation. Outcome-defined comparisons further showed that educational composition remained an important separator of high- and low-mortality counties after COVID-19, while the fitted PM2.5 contribution contrast diminished. These findings distinguish durable configurations of place-based disadvantage from period-dependent ecological co-movement. They support geographically sensitive, multi-domain approaches to reducing mortality inequalities, while not establishing individual-level causal effects.
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Madej et al. (2026) studied this question.
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