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Spatial lifecourse epidemiology in chronic non-communicable disease research / 中华流行病学杂志
Chinese Journal of Epidemiology ; (12): 755-760, 2022.
Article Dans Chinois | WPRIM | ID: wpr-935455
ABSTRACT
In recent years, the research focus on determinants of chronic non-communicable diseases has shifted from non-spatial factors (e.g., lifestyle behaviors) to spatial factors (e.g., natural and built environments). As the intersection of lifecourse epidemiology and spatial epidemiology, spatial lifecourse epidemiology is a research area in the field of health geography. It combines advanced spatial technologies, including geographic information systems, surveying, remote sensing, location-based services and artificial intelligence, to accurately retrace, measure, and simulate individuals' exposures across the life course (i.e., exposome); and adopts lifecourse models, including the accumulation of risk model and critical/sensitive period models, to investigate the impact of individuals' exposures in the past on their health status at different stages of life. This paper introduces the theories, main analysis approaches and focus of spatial lifecourse epidemiology in the research of chronic non-communicable diseases for the purpose of better understanding and applications of spatial lifecourse epidemiology in the research of determinants of chronic non-communicable diseases, providing important reference for future research, facilitating the development of health geography to eventually achieve precise health management over the lifecourse.
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Texte intégral: Disponible Indice: WPRIM (Pacifique occidental) Sujet Principal: Intelligence artificielle / État de santé / Épidémiologie / Prévision / Maladies non transmissibles / Géographie Type d'étude: Étude pronostique / Étude de dépistage Limites du sujet: Humains langue: Chinois Texte intégral: Chinese Journal of Epidemiology Année: 2022 Type: Article

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Texte intégral: Disponible Indice: WPRIM (Pacifique occidental) Sujet Principal: Intelligence artificielle / État de santé / Épidémiologie / Prévision / Maladies non transmissibles / Géographie Type d'étude: Étude pronostique / Étude de dépistage Limites du sujet: Humains langue: Chinois Texte intégral: Chinese Journal of Epidemiology Année: 2022 Type: Article