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BackgroundDepression in older adults poses significant health challenges, yet the protective role of positive affect remains understudied. This research examined the complex network of positive affect and depression in older adults using advanced network analysis techniques to identify potential targets for intervention.MethodsBayesian Gaussian Graphical Models and Directed Acyclic Graph modelling
