Abstract: 【 Purpose/significance】 In order to advance the study of digital information adaptive aging and to provide theoretical guid⁃ ance for the development and improvement of digital information adaptive policies, a hierarchical model of the factors influencing se⁃ nior citizens′ adaptative capacity for digital information ecology has been created.【Method/process】 Through literature analysis and two rounds of expert surveys, 24 factors that affect older people′s ability to adapt to digital information ecology are extracted. The ex⁃ planatory structural model and MICMAC method are used to support modeling, identify the hierarchical relationships of the influence factors and analyze the mechanisms of their effects.【 Result/conclusion】 The factors influencing older people′s digital information ecoadaptation can be divided into three categories: surface-dependent factors, middle-linked factors, and deep-driven factors. There are nine surface-dependent factors, eight middle-linked factors and seven deep-driven factors. 【Innovation/limitation】 The study de⁃ scribes the interactions and influencing mechanisms of the factors impacting senior citizens′ ability to adapt to digital information ecol⁃ ogy, no quantitative analysis of the strength of the effects between the influencing factors is carried out.