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Published on: January 12, 2024
Spatiotemporal Evolution of Dermatitis Burden and Ecological Associations With Dietary Patterns Across
Weiwei Wang1, Mingkai Ji2, Yusheng Chen3
1Central Laboratory, Xiamen Medical College Affiliated Second Hospital, Xiamen, China.
Objectives:
Dermatitis is a common chronic inflammatory skin condition with a heterogeneous etiology and varying global burden. This study aimed to characterize the spatiotemporal evolution of dermatitis burden and investigate its ecological associations with dietary patterns across socio-demographic gradients from 1990 to 2023.
Methods:
Using data from the Global Burden of Disease Study 2023, we analyzed age-standardized disability-adjusted life-years for dermatitis across socio-demographic index (SDI) regions. We used similarity-based measures to assess regional convergence patterns and applied fixed-effects panel regression to examine ecological associations with dietary factors.
Results:
Global dermatitis disability-adjusted life-years declined modestly from 205.6 to 196.3 per 100 000 population during 1990 to 2023 (Estimated annual percentage change: -0.14%, 95% CI: -0.15 to -0.13), with substantial heterogeneity across SDI strata. The middle SDI region carried the highest burden (286.2 per 100 000 in 2023) and showed distinct epidemiological patterns. Spatiotemporal analysis revealed a consistent 3-phase dynamic: initial heterogeneity (1990-1994), convergence with peak synchronization (2002-2009), and subsequent redivergence (post-2010). Ecological analyses demonstrated stable positive associations for high processed meat intake (β = 1.98, 95% CI: 1.23 to 2.73) and low dietary fiber intake (β = 0.25, 95% CI: 0.18 to 0.31) with dermatitis burden, whereas other dietary factors showed context-dependent associations.
Conclusions:
The findings highlight the potential importance of dietary factors and period-specific influences in dermatitis epidemiology, emphasizing the need for development-tailored prevention strategies that account for both dietary patterns and spatiotemporal dynamics.
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