A Structural Model for Adjustment to Aging among Older Women in Breast Cancer Remission

摘要: This study aims to build a structural model explore the predictors of adjustment aging (AtA) reported by older women in breast cancer remission. A community-dwelling sample 771 remission aged between 75 and 98 years answered questionnaire determine socio-demographic (age, income, marital status, education, household, living setting), health-related characteristics (self-reported functional limitations disabilities, time since remission, other type cancer, reconstruction, perceived health, recent disease medication). Several measures were employed assess AtA, sense coherence subjective well-being. Structural equation modeling was used self-reported encompassing all variables. Significant AtA are disability (β = .404; p < .001), (β = .371; health (β = .257; (β = .231; reconstruction (β = .153; p = .008), status (β = .141; (β = .140; setting (β = .139; p = .006). These variables accounted for 84.3% variability AtA. Self-reported strongest Our findings suggest that care interventions with still community may benefit from clearly including these as they relevant promoting women’ s well.